-import { Worker as ThreadWorker } from 'node:worker_threads'
import cluster, { Worker as ClusterWorker } from 'node:cluster'
+import { Worker as ThreadWorker } from 'node:worker_threads'
+
import { expect } from 'expect'
+
+import { CircularBuffer } from '../../lib/circular-buffer.cjs'
+import { WorkerTypes } from '../../lib/index.cjs'
import {
- CircularArray,
- DEFAULT_CIRCULAR_ARRAY_SIZE
-} from '../../lib/circular-array.cjs'
-import {
- DEFAULT_MEASUREMENT_STATISTICS_REQUIREMENTS,
- buildWorkerChoiceStrategyOptions,
createWorker,
+ DEFAULT_MEASUREMENT_STATISTICS_REQUIREMENTS,
getDefaultTasksQueueOptions,
- getWorkerChoiceStrategyRetries,
getWorkerId,
getWorkerType,
- updateMeasurementStatistics
+ updateMeasurementStatistics,
} from '../../lib/pools/utils.cjs'
-import {
- FixedClusterPool,
- FixedThreadPool,
- WorkerTypes
-} from '../../lib/index.cjs'
+import { MeasurementHistorySize } from '../../lib/pools/worker.cjs'
describe('Pool utils test suite', () => {
it('Verify DEFAULT_MEASUREMENT_STATISTICS_REQUIREMENTS values', () => {
expect(DEFAULT_MEASUREMENT_STATISTICS_REQUIREMENTS).toStrictEqual({
aggregate: false,
average: false,
- median: false
+ median: false,
})
})
concurrency: 1,
size: Math.pow(poolMaxSize, 2),
taskStealing: true,
- tasksStealingOnBackPressure: true,
- tasksFinishedTimeout: 2000
+ tasksStealingOnBackPressure: false,
+ tasksFinishedTimeout: 2000,
})
})
- it('Verify getWorkerChoiceStrategyRetries() behavior', async () => {
- const numberOfThreads = 4
- const pool = new FixedThreadPool(
- numberOfThreads,
- './tests/worker-files/thread/testWorker.mjs'
- )
- expect(getWorkerChoiceStrategyRetries(pool)).toBe(pool.info.maxSize * 2)
- const workerChoiceStrategyOptions = {
- runTime: { median: true },
- waitTime: { median: true },
- elu: { median: true },
- weights: {
- 0: 100,
- 1: 100
- }
- }
- expect(
- getWorkerChoiceStrategyRetries(pool, workerChoiceStrategyOptions)
- ).toBe(
- pool.info.maxSize +
- Object.keys(workerChoiceStrategyOptions.weights).length
- )
- await pool.destroy()
- })
-
- it('Verify buildWorkerChoiceStrategyOptions() behavior', async () => {
- const numberOfWorkers = 4
- const pool = new FixedClusterPool(
- numberOfWorkers,
- './tests/worker-files/cluster/testWorker.cjs'
- )
- expect(buildWorkerChoiceStrategyOptions(pool)).toStrictEqual({
- runTime: { median: false },
- waitTime: { median: false },
- elu: { median: false },
- weights: expect.objectContaining({
- 0: expect.any(Number),
- [pool.info.maxSize - 1]: expect.any(Number)
- })
- })
- const workerChoiceStrategyOptions = {
- runTime: { median: true },
- waitTime: { median: true },
- elu: { median: true },
- weights: {
- 0: 100,
- 1: 100
- }
- }
- expect(
- buildWorkerChoiceStrategyOptions(pool, workerChoiceStrategyOptions)
- ).toStrictEqual(workerChoiceStrategyOptions)
- await pool.destroy()
- })
-
it('Verify updateMeasurementStatistics() behavior', () => {
const measurementStatistics = {
- history: new CircularArray()
+ history: new CircularBuffer(MeasurementHistorySize),
}
updateMeasurementStatistics(
measurementStatistics,
{ aggregate: true, average: false, median: false },
0.01
)
- expect(measurementStatistics).toStrictEqual({
+ expect(measurementStatistics).toMatchObject({
aggregate: 0.01,
maximum: 0.01,
minimum: 0.01,
- history: new CircularArray()
})
updateMeasurementStatistics(
measurementStatistics,
{ aggregate: true, average: false, median: false },
0.02
)
- expect(measurementStatistics).toStrictEqual({
+ expect(measurementStatistics).toMatchObject({
aggregate: 0.03,
maximum: 0.02,
minimum: 0.01,
- history: new CircularArray()
})
updateMeasurementStatistics(
measurementStatistics,
{ aggregate: true, average: true, median: false },
0.001
)
- expect(measurementStatistics).toStrictEqual({
+ expect(measurementStatistics).toMatchObject({
aggregate: 0.031,
maximum: 0.02,
minimum: 0.001,
- average: 0.001,
- history: new CircularArray(DEFAULT_CIRCULAR_ARRAY_SIZE, 0.001)
+ average: 0.0010000000474974513,
})
updateMeasurementStatistics(
measurementStatistics,
{ aggregate: true, average: true, median: false },
0.003
)
- expect(measurementStatistics).toStrictEqual({
+ expect(measurementStatistics).toMatchObject({
aggregate: 0.034,
maximum: 0.02,
minimum: 0.001,
- average: 0.002,
- history: new CircularArray(DEFAULT_CIRCULAR_ARRAY_SIZE, 0.001, 0.003)
+ average: 0.0020000000367872417,
})
updateMeasurementStatistics(
measurementStatistics,
{ aggregate: true, average: false, median: true },
0.006
)
- expect(measurementStatistics).toStrictEqual({
+ expect(measurementStatistics).toMatchObject({
aggregate: 0.04,
maximum: 0.02,
minimum: 0.001,
- median: 0.003,
- history: new CircularArray(
- DEFAULT_CIRCULAR_ARRAY_SIZE,
- 0.001,
- 0.003,
- 0.006
- )
+ median: 0.003000000026077032,
})
updateMeasurementStatistics(
measurementStatistics,
{ aggregate: true, average: true, median: false },
0.01
)
- expect(measurementStatistics).toStrictEqual({
+ expect(measurementStatistics).toMatchObject({
aggregate: 0.05,
maximum: 0.02,
minimum: 0.001,
- average: 0.005,
- history: new CircularArray(
- DEFAULT_CIRCULAR_ARRAY_SIZE,
- 0.001,
- 0.003,
- 0.006,
- 0.01
- )
+ average: 0.004999999975552782,
})
})